Suppose the array is located in memory. There are a lot of columns to
count eg. Average. As a parallel process count because now 7 of 8
processors doing nothing.
Paul
W dniu 2015-01-03 o 23:27, [email protected] pisze:
On Sunday, January 4, 2015 4:28:06 AM UTC+10, paul analyst wrote:
THX
A have not :/ but I can makes it in parts!
If the arrays won't fit in memory it probably doesn't matter what
Julia does, the IO or paging time will dominate.
Cheers
Lex
How simply use parallel for it? I have 8 proc, is working only 1
Paul
W dniu piątek, 15 sierpnia 2014 11:53:54 UTC+2 użytkownik Billou
Bielour napisał:
This might be a bit faster:
function sub!(A,B,C)
for j=1:size(A,2)
for i=1:size(A,1)
@inbounds C[i,j] = A[i,j] - B[i,j]
end
end
end
C = zeros(size(A));
sub!(A,B,C)
Do you have enough RAM to store these matrices though ? 10^5 *
10^5 Float64 seems rather large.
